Daniel M. Bear

6.3k citations
30 papers · 3.8k indexed · 2 hit papers · h-index 18

Daniel M. Bear

29 papers receiving 3.7k citations

Hit Papers

Widespread transcription at...1.8k197720261993200950010001.5k

Peers

Daniel M. Bear
Comparison fields: 5 of 140
  • Cancer Research 697
  • Psychiatry and Mental health 633
  • Sensory Systems 170
  • Cognitive Neuroscience 613
  • Molecular Biology 2.0k
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Citations per field
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Citations per year

Countries citing papers authored by Daniel M. Bear

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Bear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Bear. 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 Daniel M. Bear. The network helps show where Daniel M. Bear may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel M. Bear, 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 Daniel M. Bear Line = papers co-authored together Daniel M. Bear links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20233
3 202236
4 20229
5
Visual Grounding of Learned Physical Models
20203
6
Task-driven convolutional recurrent models of the visual system
201816
7 20182
8 201690
9 201694
10
Widespread transcription at neuronal activity-regulated enhancersbreakdown →
20101786
11 2010133
12 2008355
13 200771
14 199222
15 19894
16 198844
17 198899
18 198126
19
Case 2: Behavioral changes with temporal lobe epilepsy: assessment and treatment.
198014
20 197214

About Daniel M. Bear

Daniel M. Bear is a scholar working on Sensory Systems, Cognitive Neuroscience, Psychiatry and Mental health, Nutrition and Dietetics and Pharmacy, having authored 30 papers that have together received 3.8k indexed citations. Recurring topics across this work include Epilepsy research and treatment (7 papers), Biochemical Analysis and Sensing Techniques (4 papers), Olfactory and Sensory Function Studies (4 papers), Neural dynamics and brain function (3 papers), Visual Attention and Saliency Detection (3 papers), Psychosomatic Disorders and Their Treatments (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Cancer Research (697 citations), Psychiatry and Mental health (633 citations), Sensory Systems (170 citations), Cognitive Neuroscience (613 citations) and Molecular Biology (2.0k citations). Daniel M. Bear has collaborated with scholars based in United States, Belgium and South Africa. Frequent co-authors include Paul Fedio, Eirene Markenscoff-Papadimitriou, Jesse Gray, Tae-Kyung Kim, Michael E. Greenberg, David A. Harmin, Martin Hemberg, Paul Worley, Jing Wu and Haruhiko Bito. Their work appears in journals such as Journal of Vision, American Journal of Psychiatry, Journal of Neuropsychiatry, Journal of Psychiatric Research and Current Biology.

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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