Tom Gibbs

3.0k total citations · 1 hit paper
4 papers, 1.1k citations indexed

About

Tom Gibbs is a scholar working on Artificial Intelligence, Endocrinology and Food Science. According to data from OpenAlex, Tom Gibbs has authored 4 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Endocrinology and 1 paper in Food Science. Recurrent topics in Tom Gibbs's work include Innovative Teaching and Learning Methods (1 paper), Manufacturing Process and Optimization (1 paper) and Astrophysics and Cosmic Phenomena (1 paper). Tom Gibbs is often cited by papers focused on Innovative Teaching and Learning Methods (1 paper), Manufacturing Process and Optimization (1 paper) and Astrophysics and Cosmic Phenomena (1 paper). Tom Gibbs collaborates with scholars based in United States, Germany and South Korea. Tom Gibbs's co-authors include Ghalia Rehawi, Christian Dallago, Christoph Angerer, Ahmed Elnaggar, T. Fehér, Burkhard Rost, Yu Wang, Llion Jones, Michael Heinzinger and Debsindhu Bhowmik and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Environmental Science and Health Part A.

In The Last Decade

Tom Gibbs

3 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning

2021 1.1k citations Ahmed Elnaggar, Michael Heinzinger et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Gibbs United States	2	929	188	80	69	63	4	1.1k
Ghalia Rehawi Germany	3	928 1.0×	188 1.0×	80 1.0×	69 1.0×	63 1.0×	4	1.1k
Ahmed Elnaggar Germany	7	1.3k 1.4×	255 1.4×	101 1.3×	77 1.1×	83 1.3×	8	1.5k
Ethan C. Alley United States	7	853 0.9×	126 0.7×	81 1.0×	59 0.9×	31 0.5×	7	1.0k
Dan Ofer Israel	10	697 0.8×	110 0.6×	41 0.5×	47 0.7×	48 0.8×	17	881
Noelia Ferruz Spain	12	652 0.7×	117 0.6×	131 1.6×	68 1.0×	24 0.4×	20	818
Jishou Ruan China	23	1.3k 1.4×	213 1.1×	159 2.0×	85 1.2×	32 0.5×	64	1.6k
Ehsaneddin Asgari United States	10	715 0.8×	164 0.9×	53 0.7×	48 0.7×	22 0.3×	25	917
Joshua Meier United States	4	1.3k 1.4×	246 1.3×	125 1.6×	115 1.7×	53 0.8×	7	1.6k
Julia Koehler Leman United States	16	869 0.9×	148 0.8×	168 2.1×	68 1.0×	17 0.3×	25	1.1k

Countries citing papers authored by Tom Gibbs

Since Specialization

Citations

This map shows the geographic impact of Tom Gibbs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Gibbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Gibbs more than expected).

Fields of papers citing papers by Tom Gibbs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Gibbs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Gibbs. The network helps show where Tom Gibbs may publish in the future.

Co-authorship network of co-authors of Tom Gibbs

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Gibbs. A scholar is included among the top collaborators of Tom Gibbs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Gibbs. Tom Gibbs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Fan, Zhen, C.S. Liu, Jianhao Zhu, et al.. (2025). MetalMind: A knowledge graph-driven human-centric knowledge system for metal additive manufacturing. 2(1). 1 indexed citations

2.

Chirkin, D., Tom Gibbs, Alexander Harnisch, et al.. (2022). Accelerating IceCube’s Photon Propagation Code with CUDA. 6(1).

3.

Elnaggar, Ahmed, Michael Heinzinger, Christian Dallago, et al.. (2021). ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 7112–7127. 1057 indexed citations breakdown →

4.

Ricke, Steven C., et al.. (1999). A gene amplification‐hybridization sensor based methodology to rapidly screen aerosol samples for specific bacterial gene sequences. Journal of Environmental Science and Health Part A. 34(3). 529–556. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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