Jeffrey Mark Siskind

60 papers receiving 3.2k citations

Hit Papers

Automatic differentiation in machine learning: a survey201520262018202220154008001.2k

Peers

Jeffrey Mark Siskind
Comparison fields: 5 of 153
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 969
  • Statistical and Nonlinear Physics 672
  • Developmental and Educational Psychology 556
  • Computational Mechanics 304
Replace Geoffrey E. Hinton with:
Geoffrey E. Hinton Canada
Barak A. Pearlmutter United States
Peter Battaglia United States
Steven J. Nowlan United States
Brenden M. Lake United States
Thomas Richardson United Kingdom
Karen Livescu United States
Daniel Yamins United States
Philipp Slusallek Germany
Petros Maragos Greece
Jeffrey Mark Siskind relative to Geoffrey E. Hinton Canada Geoffrey E. Hinton's profile →
Citations per field
00.5×3.3×
Geoffrey E. Hinton · 1×
Citations per year

Countries citing papers authored by Jeffrey Mark Siskind

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Mark Siskind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Mark Siskind. 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 Jeffrey Mark Siskind. The network helps show where Jeffrey Mark Siskind may publish in the future.

Co-authorship network of co-authors of Jeffrey Mark Siskind

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2
Divide-and-conquer checkpointing for arbitrary \nprograms with no user annotation
8
3 9
4 3
5
Automatic differentiation in machine learning: a surveybreakdown →
1320
6 20
7
Grounded Language Learning from Video Described with Sentences
62
8 125
9
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
13
10 27
11 8
12
Salient Boundary Detection using Ratio Contour
14
13 21
14 4
15 10
16 324
17
Visual Event Classification via Force Dynamics
26
18
Lexical acquisition in the presence of noise and homonymy
10
19
Nondeterministic lisp as a substrate for constraint logic programming
36
20
Naive physics, event perception, lexical semantics, and language acquisition
47

About Jeffrey Mark Siskind

Jeffrey Mark Siskind is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 61 papers that have together received 3.4k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (15 papers), Natural Language Processing Techniques (11 papers) and Human Pose and Action Recognition (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (672 citations), Computer Vision and Pattern Recognition (969 citations) and Developmental and Educational Psychology (556 citations). Jeffrey Mark Siskind has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Barak A. Pearlmutter, Alexey Radul, Atılım Güneş Baydin, Michael R. Brent, Song Wang, Haonan Yu, N. Siddharth, Andrei Barbu, T. Kubota and David McAllester. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

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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