Tom Diethe

108 total papers · 1.9k total citations
46 papers, 1.2k citations indexed

About

Tom Diethe is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tom Diethe has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Signal Processing. Recurrent topics in Tom Diethe's work include Context-Aware Activity Recognition Systems (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Machine Learning and Algorithms (5 papers). Tom Diethe is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Machine Learning and Algorithms (5 papers). Tom Diethe collaborates with scholars based in United Kingdom, United States and Germany. Tom Diethe's co-authors include Peter Flach, Yu Chen, Niall Twomey, John Shawe‐Taylor, Ian Craddock, David R. Hardoon, Xenofon Fafoutis, Ni Zhu, Massimo Camplani and Dritan Kaleshi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Drug Discovery Today and Neural Computation.

In The Last Decade

Tom Diethe

43 papers receiving 1.1k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence

2016 567 citations Yu Chen, Tom Diethe et al. National Conference on Artificial Intelligence profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tom Diethe	500	468	168	122	103	46	1.2k
Yudong Tao	617 1.2×	383 0.8×	139 0.8×	106 0.9×	108 1.0×	50	1.4k
Yago Sáez	516 1.0×	352 0.8×	159 0.9×	133 1.1×	68 0.7×	62	1.2k
Debo Cheng	692 1.4×	395 0.8×	113 0.7×	187 1.5×	93 0.9×	51	1.4k
Donghai Guan	520 1.0×	386 0.8×	219 1.3×	234 1.9×	69 0.7×	86	1.1k
V́ıctor González-Castro	319 0.6×	255 0.5×	92 0.5×	156 1.3×	103 1.0×	59	1.2k
Jia Xu	496 1.0×	426 0.9×	87 0.5×	86 0.7×	54 0.5×	87	1.3k
Hong-Han Shuai	490 1.0×	731 1.6×	107 0.6×	135 1.1×	122 1.2×	118	1.5k
Ahmed Sedik	288 0.6×	402 0.9×	70 0.4×	104 0.9×	136 1.3×	56	1.0k
François Portet	570 1.1×	330 0.7×	142 0.8×	50 0.4×	170 1.7×	66	1.2k
Enamul Hoque	518 1.0×	647 1.4×	227 1.4×	123 1.0×	97 0.9×	76	1.5k

Countries citing papers authored by Tom Diethe

Since Specialization

Citations

This map shows the geographic impact of Tom Diethe'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 Diethe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Diethe more than expected).

Fields of papers citing papers by Tom Diethe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Diethe. 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 Diethe. The network helps show where Tom Diethe may publish in the future.

Co-authorship network of co-authors of Tom Diethe

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Diethe. A scholar is included among the top collaborators of Tom Diethe 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 Diethe. Tom Diethe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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