Robert Hecht-Nielsen

66 total papers · 4.0k total citations
40 papers, 2.0k citations indexed

About

Robert Hecht-Nielsen is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Robert Hecht-Nielsen has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 7 papers in Signal Processing. Recurrent topics in Robert Hecht-Nielsen's work include Neural Networks and Applications (21 papers), Blind Source Separation Techniques (7 papers) and Neural dynamics and brain function (6 papers). Robert Hecht-Nielsen is often cited by papers focused on Neural Networks and Applications (21 papers), Blind Source Separation Techniques (7 papers) and Neural dynamics and brain function (6 papers). Robert Hecht-Nielsen collaborates with scholars based in United States, France and Japan. Robert Hecht-Nielsen's co-authors include Tadashi Yamazaki, P.M. Chau, Yeshaiahu Fainman, Thomas M. McKenna, Syrus C. Nemat-Nasser, Andrew T. Smith, Andrew Smith, Rex Kerr, Jacques Lambert and Stephen I. Gallant and has published in prestigious journals such as Science, The Journal of the Acoustical Society of America and Neural Computation.

In The Last Decade

Robert Hecht-Nielsen

39 papers receiving 1.8k citations

Hit Papers

Counterpropagation networks 1987 2026 2000 2013 1987 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Robert Hecht-Nielsen 999 352 308 261 170 40 2.0k
Farhad Pourpanah 1.3k 1.3× 614 1.7× 392 1.3× 197 0.8× 130 0.8× 37 2.9k
Chris Bishop 1.1k 1.1× 396 1.1× 383 1.2× 309 1.2× 178 1.0× 73 3.2k
Russell Reed 1.2k 1.2× 431 1.2× 289 0.9× 270 1.0× 173 1.0× 19 2.2k
Fakhreddine Karray 730 0.7× 407 1.2× 648 2.1× 260 1.0× 140 0.8× 44 2.4k
M.H. Hassoun 1.1k 1.1× 379 1.1× 339 1.1× 513 2.0× 168 1.0× 74 2.7k
M. A. Ganaie 967 1.0× 602 1.7× 180 0.6× 209 0.8× 105 0.6× 40 2.3k
J Figueroa Nazuno 834 0.8× 310 0.9× 310 1.0× 330 1.3× 222 1.3× 12 2.2k
Zewen Li 767 0.8× 702 2.0× 205 0.7× 343 1.3× 193 1.1× 30 3.0k
Xinzheng Xu 835 0.8× 439 1.2× 157 0.5× 310 1.2× 83 0.5× 55 1.8k
Eyad Elyan 1.2k 1.2× 720 2.0× 280 0.9× 327 1.3× 144 0.8× 70 2.8k

Countries citing papers authored by Robert Hecht-Nielsen

Since Specialization
Citations

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

Fields of papers citing papers by Robert Hecht-Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Hecht-Nielsen. 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 Robert Hecht-Nielsen. The network helps show where Robert Hecht-Nielsen may publish in the future.

Co-authorship network of co-authors of Robert Hecht-Nielsen

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Hecht-Nielsen. A scholar is included among the top collaborators of Robert Hecht-Nielsen 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 Robert Hecht-Nielsen. Robert Hecht-Nielsen 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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