David Heath

54 total papers · 498 total citations
20 papers, 193 citations indexed

About

David Heath is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, David Heath has authored 20 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in David Heath's work include Cryptography and Data Security (8 papers), Complexity and Algorithms in Graphs (5 papers) and Security and Verification in Computing (4 papers). David Heath is often cited by papers focused on Cryptography and Data Security (8 papers), Complexity and Algorithms in Graphs (5 papers) and Security and Verification in Computing (4 papers). David Heath collaborates with scholars based in United States, Israel and United Kingdom. David Heath's co-authors include Elliot K. Fishman, Vladimir Kolesnikov, Philippe Soyer, Michael A. Choti, Janet E. Kuhlman, R Reichle, David A. Bluemke, Pamela T. Johnson, William W. Scott and Simon Kasif and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Japanese Journal of Applied Physics.

In The Last Decade

David Heath

18 papers receiving 181 citations

Author Peers

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

Author						Papers	Cites
David Heath	51	50	48	43	29	20	193
Ștefan Udriștoiu	56 1.1×	65 1.3×	25 0.5×	32 0.7×	13 0.4×	32	246
Mohammad Adibuzzaman	46 0.9×	25 0.5×	12 0.3×	27 0.6×	23 0.8×	26	261
Joshua Pantanowitz	75 1.5×	67 1.3×	15 0.3×	17 0.4×	5 0.2×	17	249
Hui Zong	65 1.3×	47 0.9×	17 0.4×	6 0.1×	8 0.3×	28	254
Bart Van den Bosch	25 0.5×	39 0.8×	30 0.6×	24 0.6×	5 0.2×	29	275
Hon Ho Yu	37 0.7×	64 1.3×	60 1.3×	47 1.1×	11 0.4×	16	203
Prasanth Prasanna	37 0.7×	159 3.2×	30 0.6×	17 0.4×	7 0.2×	15	237
Yue Cong	30 0.6×	70 1.4×	192 4.0×	50 1.2×	15 0.5×	20	288
Changhee Lee	88 1.7×	44 0.9×	22 0.5×	56 1.3×	4 0.1×	28	272
Hongyi Zhang	22 0.4×	12 0.2×	48 1.0×	96 2.2×	17 0.6×	25	246

Countries citing papers authored by David Heath

Since Specialization

Citations

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

Fields of papers citing papers by David Heath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Heath

This figure shows the co-authorship network connecting the top 25 collaborators of David Heath. A scholar is included among the top collaborators of David Heath 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 David Heath. David Heath 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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