r/academicpublishing

Hi everyone,
Quick question for people who do systematic reviews and meta-analyses.
Is there an all-in-one platform that covers the entire workflow, so you don’t have to switch between multiple tools?
If yes, which one? If not, what would you consider a fair monthly subscription price for a platform that does?

My boyfriend has been applying for the scientific editor role in renowned journals such as Elsevier, Wiley, Springer. Despite being from a similar background as mentioned in the job requirements he has not received any response till date. He has no idea whether he has been rejected or accepted on what basis. He wants to start his career in a scientific editor role and has done a PhD from Europe in optoelectronics. He has applied multiple times. On tracking on the Springer website it has been showing under review for almost a month now. As he is new in the job market and I being from a completely different background we are unable to understand where and what goes wrong in his application. If anyone has any idea or is into such roles then please let me know how he should tailor his CV so that the prospects of interview call increases. I'll convey the same to him. It feels so sad that he puts in a lot of effort for a single role with no update.

I'm a Software Engineering student looking for a research topic with good publication potential.

I'm particularly interested in Bioinformatics, Health Informatics, Medical Computing, AI, and Explainable AI (XAI), where I can make a strong technical/software contribution. That said, I'm also open to other interesting research areas in computer science.

I'd appreciate any advice on:

• Promising research areas to explore
• How you identify genuine research gaps
• Resources you use
• Tips for finding a topic that's both novel and publishable

Thanks in advance!

Title:

The Framework Is Now Archived, Timestamped, and Citable — DOI Inside. If You’re a Scientist, I Want You To Try To Break It.You ever watch an idea survive long enough that it stops being just yours?That’s where this one is now.I’ve formally archived the Eight Principles and Twelve Mechanisms as prior art. It has a DOI, a permanent record, and a stable link that won’t vanish into the Reddit void.DOI:

https://doi.org/10.5281/zenodo.12701148 (doi.org in Bing)That means the framework is now sitting in the same infrastructure used by CERN, NASA, and the European Commission. It’s timestamped. It’s citable. It’s part of the scientific ecosystem.And now I want scientists — real ones, the kind who sharpen ideas by trying to break them — to work with it.Why I’m Posting This HereBecause Reddit is where ideas get pressure‑tested in public.Not behind closed doors.

Not in quiet labs.

Not in polite conference rooms.Here, people actually poke at things.The framework is mechanism‑first, falsifiable, and intentionally incomplete. It’s not a theory of everything. It’s a scaffold. A structure. A set of constraints that force certain behaviors and forbid others.If you’re a physicist, mathematician, complexity researcher, network theorist, or just someone who enjoys tearing apart conceptual machinery — this is your invitation.How to Attack It (The Fastest Routes)If you want to falsify it, start here:Show a relational network where coherence gradients cannot produce GR‑like curvature.Show that spectral distance cannot reproduce any known metric.Either one breaks the framework cleanly.If you want to extend it, start here:Build a toy model.Formalize one mechanism.Test a boundary condition.Explore emergent curvature under different coherence distributions.Even small contributions matter.Why I’m Asking for CollaborationBecause science moves when people argue with each other in good faith.I don’t need agreement.

I don’t need approval.

I need interaction.If you see a flaw, point at it.

If you see a gap, fill it.

If you see a path forward, sketch it.The DOI makes this possible.

Reddit makes it visible.

You make it real.

Built this for my own research workflow and thought others might find it useful.

What it does:

• One-click capture of any page (text, images, metadata)
• Auto-generates citations in APA/MLA/Harvard/Chicago from page metadata
• Research projects — group clips, tag quotes, add notes
• Prompt builder — select multiple clips, pick a mode (compare, summarize, outline), downloads a structured markdown
• Upload that markdown to any AI and it knows exactly what to do with your sources

What it doesn't do:

• No cloud, no accounts, no tracking
• Doesn't phone home — everything local
• Doesn't write essays for you — just organizes your research so AI can work with it properly

Free tier: 5 clips/day, 1 prompt export/day. Pro (coming soon) removes limits.

Available on Edge.
Chrome and Opera coming soon.

Note: Some Pro features (auto-capture, session capture, AI summarization) aren't available yet — the paid tier is coming soon. All free features work fully right now.

Install: https://microsoftedge.microsoft.com/addons/detail/instaint-snap/mcklnjgpbjfibfjjfkgolijfjadcinff

Source code: https://github.com/tsukidev-buids/inst-AI-nt-snap

Would love feedback — what would make this more useful for you?

Hi everyone,

My manuscript is currently under review at an IOP journal. The public tracking page first showed:

• “1st reviewer agreed to report”
• then “All reviewer reports received”

The message said the editors were making a decision and might consult additional reviewers if needed.

A short time later, the status reverted to:

• “Out to reviewers”
• with the message that they are searching for expert referees.

Has anyone seen this sequence in an IOP journal?
I just want to understand whether this status sequence is normal and what it usually means in practice.

Hi everyone ~ first time post here. I'm a PhD student who recently published their first paper as first author.

When the final print was released I saw that revisions I made and requested during the proofs stage were NOT reflected in the final print. Journal is an Elsevier one. I've spoken with journal managers etc. who assured me it would be fixed within 2-3 business days but 6 weeks later still nothing. Followed up again and no response yet.

Any advice on how to proceed? Errors are in table formatting and referencing so is it worth getting worked up over? Obviously I'm incredibly frustrated and disappointed but should I pick my battles?

I really appreciate any advice thank you thank you :)

I submitted a minor revision of a paper over 4 months ago, and since then its status in the tracking system hasn't changed at all: it looks like the handling editor hasn't touched it yet, or if he did, he didn't update the status in the system - in any case, I'm in the dark about what is happening. I tried contacting the editorial office several times, and later the managing editor of the journal, but I didn't receive any response. This is for a paper that's been submitted 18 months ago to a highly ranked humanities journal. Both reviews were very positive, with only small comments to address.

Would it be a breach of etiquette to politely contact the handling editor directly at this point, and ask about the status? My concern is that officially, all communication is supposed to go through the editorial office, and handling editor's contact was never explicitly mentioned - I'd have to cold email him through his institutional email (I only know his name from the "minor revision" decision sent by the editorial office). Should I perhaps be contacting the editor-in-chief instead?

TUI demo of Surveyer

Hi everyone,

As I've been recently working on a survey paper and needed a PRISMA figure to document the research process for reproducibility, I noticed that not many open-source tools support this natively. So I decided to build my own tool, and as time went on it ended up becoming my everyday lit review tool.

To the best of my knowledge, there are many great open-source tools for systematic reviews (AsReview, litstudy, paperscraper or ProfOlaf) and I clearly don't pretend to replace them. Surveyer (that's the name) simply focuses on a slightly different problem: reproducibility and proper exports for a survey papers and making it an another option for lit reviews.

It does everything from fetching (currently supports 5 sources), deduplication, concept and keyword filtering, snowballing (citation chasing) and complete exports (xlsx, PRISMA and BibTeX). It also has a nice TUI so feel free to play with it.

GitHub: https://github.com/IsmailHatim/Surveyer

I'd really appreciate any feedback from you, if you think that something is missing, have ideas for improvements or would like to contribute I'd be very happy to hear.

Important Note: LLM relevance filter feature is optional, as I know it can be non-reproducible and people are sceptical about this and reasonably so. But many recent survey paper use it in their systematic review and methodology as it can save you time with the manual review. Anyway this filtering is *soft* and auditable so papers are not excluded before the manual review.

All that I can find on their website are author guidelines with a statement that "All submissions should be made by email to the Editor". So is there any process of blinded review included or just editorial corrections? It's currently the highest impact journal in psychiatrics after all, apologies if I missed something obvious...

When I try:

\usepackage[style=apa, backend=biber]{biblatex}
\addbibresource{ref.bib}

\printbibliography

The resulting formatting is not APA7 and is different to what I have seen it to look like online. (It produces a numbered reference list with different formatting and numbered in-text citations.

I have tried a number of strategies, but can never manage to make a consistent APA format between the reference list and in-text citations.

Has the style=apa formatting changed in recent times, or might there be some other package required ?

I'm 20M, an engg student working under a professor and she has asked me to write on the following theme..

https://www.igi-global.com/publish/call-for-papers/call-details/10069

Call for Chapters: Communication Ethics for Digital Transformation in Global Media

For context, I have submitted to a workshop. I am new to the world of research, and was surprised when arXiv rejected my paper, stating that I needed to have a Journal Link/DOI. I have had another paper accepted to a workshop, yet arXiv doesn't accept them. I sent a mail to moderators asking for clarification and still have not received one. Is this normal?

What's the impact of scientific reports in the tech community?? Means( good reputational or light )

Depth of accuracy and knowledge people search for to accept some new facts and expand their horizons

​

Hi dudes, I am Abhas and I am a teenager. I have made a theory about life, it's evolution, origin and mechanisms. I am seriously interested to publish it for the peer review as well as then officially publishing it into scientific community (in this hope that if it gets accepted, it will be written as just like another theory like relativity, or quantum model etc.)
But the problem is despite being a school student, I don't know anything about the formalities.
I DON'T KNOW HOW TO INCREASE THE CHANCES OF GETTING ACCEPTED OF MY THEORY.
So I am seeking the help, I am seeking the enlightened path for the glory of my creation- "The Life" (name of my theory).
Can anybody help me in this phase? Can anybody tell me exactly how to do what and what to publish it for peer review, then for publish in the journal officially?

After a few years of working on this without a lab, a grant, or a supervisor, my first paper is out, open access, in Humanities and Social Sciences Communications (Nature Portfolio). I am posting partly because I am quietly happy about it, but mostly because I would like people who know this area to tell me where it is weak. I would rather find the holes now than pretend they are not there.

The short version: the paper introduces a model that tries to measure psychological "sustainability," meaning whether a person can keep going under their current load, as something separate from whether they are currently in a diagnosable state. It pairs a five-part "Equation of Enough" (effective stress, effective success, pacing, person-context fit, and the capacity to imagine a future) with a single continuum from actualization to collapse. Across two studies (N = 44, then N = 250 from several countries) the five conditions accounted for most of the variance in where people fell on that continuum, and, more interestingly to me, a standard measure of meaning in life did not track with it.

One things I already know are vulnerable, and where I would most value pushback:.

1. The meaning result rests on an underpowered null. The "meaning and sustainability diverge" finding comes from the N = 44 phase, which is too small to detect a moderate correlation. I am treating it as a hypothesis, not a finding. Am I being too generous to it, or not generous enough?

Beyond that, I would genuinely welcome any critique of the construct itself, the item design, the analytic choices, or the framing. And since I am also trying to write about this work for non-specialists, any reaction to how clearly (or not) the above lands is useful too.