Krishna Srihasam

591 total citations
10 papers, 356 citations indexed

About

Krishna Srihasam is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Developmental and Educational Psychology. According to data from OpenAlex, Krishna Srihasam has authored 10 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 2 papers in Human-Computer Interaction and 2 papers in Developmental and Educational Psychology. Recurrent topics in Krishna Srihasam's work include Visual perception and processing mechanisms (5 papers), Neural dynamics and brain function (4 papers) and Face Recognition and Perception (2 papers). Krishna Srihasam is often cited by papers focused on Visual perception and processing mechanisms (5 papers), Neural dynamics and brain function (4 papers) and Face Recognition and Perception (2 papers). Krishna Srihasam collaborates with scholars based in United States. Krishna Srihasam's co-authors include Margaret S. Livingstone, Justin L. Vincent, I Mórocz, Kevin Sullivan, Joseph B. Mandeville, Peter F. Schade, Michael J. Arcaro, Stephen Grossberg, Daniel Bullock and Daeyeol Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Krishna Srihasam

10 papers receiving 352 citations

Peers

Krishna Srihasam

CN

CVPR

DEP

ECP

SP

Regina Rettenbach Germany

Hilda M. Fehd United States

Kenneth C. Scott-Brown United Kingdom

Adrien Chopin France

Ramakrishna Chakravarthi United Kingdom

Nobu Shirai Japan

Anthony Stigliani United States

Kimberly Meier Canada

Cigdem P. Talgar United States

J. Brendan Ritchie Belgium

Regina Rettenbach Germany

Krishna Srihasam

284 ×1.0

CN

35 ×0.6

CVPR

67 ×1.3

DEP

94 ×2.0

ECP

21 ×0.5

SP

Citations per year, relative to Krishna Srihasam Krishna Srihasam (= 1×) peers Regina Rettenbach

Countries citing papers authored by Krishna Srihasam

Since Specialization

Citations

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

Fields of papers citing papers by Krishna Srihasam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Srihasam

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Srihasam. A scholar is included among the top collaborators of Krishna Srihasam 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 Krishna Srihasam. Krishna Srihasam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Srihasam, Krishna, et al.. (2020). Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions. 85–93. 3 indexed citations

2.

Livingstone, Margaret S., et al.. (2017). Development of the macaque face-patch system. Nature Communications. 8(1). 14897–14897. 79 indexed citations

3.

Srihasam, Krishna, Justin L. Vincent, & Margaret S. Livingstone. (2014). Novel domain formation reveals proto-architecture in inferotemporal cortex. Nature Neuroscience. 17(12). 1776–1783. 108 indexed citations

4.

Livingstone, Margaret S., et al.. (2014). Symbol addition by monkeys provides evidence for normalized quantity coding. Proceedings of the National Academy of Sciences. 111(18). 6822–6827. 19 indexed citations

5.

Srihasam, Krishna, Joseph B. Mandeville, I Mórocz, Kevin Sullivan, & Margaret S. Livingstone. (2012). Behavioral and Anatomical Consequences of Early versus Late Symbol Training in Macaques. Neuron. 73(3). 608–619. 68 indexed citations

6.

Grossberg, Stephen, Krishna Srihasam, & Daniel Bullock. (2011). Neural dynamics of saccadic and smooth pursuit eye movement coordination during visual tracking of unpredictably moving targets. Neural Networks. 27. 1–20. 14 indexed citations

7.

Srihasam, Krishna, et al.. (2010). Noninvasive functional MRI in alert monkeys. NeuroImage. 51(1). 267–273. 20 indexed citations

8.

Livingstone, Margaret S., Krishna Srihasam, & I Mórocz. (2010). The benefit of symbols: monkeys show linear, human-like, accuracy when using symbols to represent scalar value. Animal Cognition. 13(5). 711–719. 23 indexed citations

9.

Srihasam, Krishna, D. J. Bullock, & Stephen Grossberg. (2010). Coordinating saccades and smooth pursuit eye movements during visual tracking and perception of objects moving with variable speeds. Journal of Vision. 6(6). 908–908. 2 indexed citations

10.

Srihasam, Krishna, Daniel Bullock, & Stephen Grossberg. (2008). Target Selection by the Frontal Cortex during Coordinated Saccadic and Smooth Pursuit Eye Movements. Journal of Cognitive Neuroscience. 21(8). 1611–1627. 20 indexed citations

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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