Doron Nussbaum

64 total papers · 444 total citations
27 papers, 204 citations indexed

About

Doron Nussbaum is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Doron Nussbaum has authored 27 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Doron Nussbaum's work include Data Management and Algorithms (9 papers), Computational Geometry and Mesh Generation (7 papers) and Robotic Path Planning Algorithms (4 papers). Doron Nussbaum is often cited by papers focused on Data Management and Algorithms (9 papers), Computational Geometry and Mesh Generation (7 papers) and Robotic Path Planning Algorithms (4 papers). Doron Nussbaum collaborates with scholars based in Canada, Norway and Germany. Doron Nussbaum's co-authors include Jörg-Rüdiger Sack, Mark Lanthier, B. John Oommen, Nicola Santoro, Anil Maheshwari, Hristo Djidjev, D. A. W. Hutchinson, Matt Duckham, Lyudmil Aleksandrov and Rolf Klein and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Computers and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Doron Nussbaum

25 papers receiving 191 citations

Author Peers

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

Author						Papers	Cites
Doron Nussbaum	74	55	51	51	38	27	204
G. Schrack	56 0.8×	88 1.6×	108 2.1×	39 0.8×	76 2.0×	34	288
Rikio Onai	34 0.5×	90 1.6×	97 1.9×	39 0.8×	32 0.8×	33	271
Damian Merrick	21 0.3×	34 0.6×	80 1.6×	88 1.7×	34 0.9×	12	203
Hao Wu	41 0.6×	89 1.6×	58 1.1×	38 0.7×	8 0.2×	41	230
Frank Staals	17 0.2×	24 0.4×	81 1.6×	95 1.9×	21 0.6×	39	223
Perouz Taslakian	37 0.5×	43 0.8×	146 2.9×	20 0.4×	43 1.1×	30	250
Pawan Harish	43 0.6×	48 0.9×	113 2.2×	21 0.4×	25 0.7×	13	196
Paolo Giulio Franciosa	67 0.9×	54 1.0×	38 0.7×	58 1.1×	45 1.2×	26	162
Hiroshi Hosobe	39 0.5×	41 0.7×	34 0.7×	16 0.3×	8 0.2×	39	138
Vincent Cohen-Addad	14 0.2×	77 1.4×	49 1.0×	35 0.7×	14 0.4×	36	202

Countries citing papers authored by Doron Nussbaum

Since Specialization

Citations

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

Fields of papers citing papers by Doron Nussbaum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doron Nussbaum

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