Michael Hochberg

273 papers receiving 14.7k citations

Hit Papers

Single-chip photonic deep neural network with forward-only training 2024 · 60 citations
602015202620182022100200300400

Peers

Michael Hochberg
Comparison fields: 5 of 200
  • Insect Science 2.0k
  • Ecology, Evolution, Behavior and Systematics 3.0k
  • Genetics 3.7k
  • Ecology 2.9k
  • Nature and Landscape Conservation 1.4k
Replace Andrew L. Rohl with:
Andrew L. Rohl Australia
Stephen Harris United Kingdom
Richard O. Prum United States
Kenneth Wilson United States
Stefan Schneider Switzerland
George Oster United States
G. Guillot France
Wayne Pfeiffer United States
Peter F. Stadler Germany
Stano Pekár Czechia
Michael Hochberg relative to Andrew L. Rohl Australia Andrew L. Rohl's profile →
Citations per field
00.5×2.5×
Andrew L. Rohl · 1×
Citations per year

Countries citing papers authored by Michael Hochberg

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hochberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael Hochberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Hochberg Line = papers co-authored together Michael Hochberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2
Roadmapping the next generation of silicon photonics
Hit paper breakdown →
2024289
3 202414
4 20231
5 20232
6 20233
7 202362
8 202012
9 202070
10 20203
11 201913
12 201718
13 201480
14 201412
15 2011243
16 200679
17 200321
18 2002238
19 199951
20 199619

About Michael Hochberg

Michael Hochberg is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Insect Science, Nature and Landscape Conservation and Ecology, having authored 278 papers that have together received 15.6k indexed citations. Recurring topics across this work include Photonic and Optical Devices (104 papers), Evolution and Genetic Dynamics (68 papers), Optical Network Technologies (51 papers), Plant and animal studies (50 papers), Advanced Photonic Communication Systems (47 papers), Evolutionary Game Theory and Cooperation (37 papers), Neural Networks and Reservoir Computing (25 papers) and Animal Ecology and Behavior Studies (24 papers). The work is most often cited by research in Insect Science (2.0k citations), Ecology, Evolution, Behavior and Systematics (3.0k citations), Genetics (3.7k citations), Ecology (2.9k citations) and Nature and Landscape Conservation (1.4k citations). Michael Hochberg has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Tom Baehr‐Jones, Lukas Chrostowski, Robert D. Holt, Bradford A. Hawkins, Andy Eu-Jin Lim, Jean‐François Guégan, Guo‐Qiang Lo, Ran Ding, Vanina Guernier and Clara Torres‐Barceló. Their work appears in journals such as Optics Express, Evolution, The American Naturalist, Journal of Evolutionary Biology and Philosophical Transactions of the Royal Society B Biological Sciences.

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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