Asad Sayeed

734 citations
52 papers · 441 indexed · h-index 12
Topics
Topic Modeling (24 papers)Natural Language Processing Techniques (17 papers)Speech and dialogue systems (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of the Association for Information Systems

In The Last Decade

Asad Sayeed

46 papers receiving 411 citations

Peers

Asad Sayeed
Comparison fields: 5 of 77
  • Artificial Intelligence 269
  • Cognitive Neuroscience 93
  • Experimental and Cognitive Psychology 65
  • Social Psychology 48
  • Computer Vision and Pattern Recognition 40
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Countries citing papers authored by Asad Sayeed

Since Specialization
Citations

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

Fields of papers citing papers by Asad Sayeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asad Sayeed

This figure shows the co-authorship network connecting the top 25 collaborators of Asad Sayeed. A scholar is included among the top collaborators of Asad Sayeed 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 Asad Sayeed. Asad Sayeed 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 0
2 0
3 1
4 1
5 1
6 9
7 1
8
A Deep Gaze into Social and Referential Interaction
0
9
Exploiting Cross-Lingual Hints to Discover Event Pronouns
1
10 8
11 54
12 18
13
Language and cognitive load in a dual task environment
9
14
An opinion about opinions about opinions: subjectivity and the aggregate reader
7
15
The Index of Cognitive Activity as a Measure of Linguistic Processing.
6
16 26
17
Syntactic Surprisal Affects Spoken Word Duration in Conversational Contexts
19
18
"Expresses-an-opinion-about": using corpus statistics in an information extraction approach to opinion mining
5
19
Arabic Cross-Document Coreference Resolution
0
20
Understanding IT Innovations Through Computational Analysis of Discourse
9

About Asad Sayeed

Asad Sayeed is a scholar working on Human-Computer Interaction, Artificial Intelligence and Computer Science Applications, having authored 52 papers that have together received 441 indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (17 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Artificial Intelligence (269 citations), Experimental and Cognitive Psychology (65 citations) and Cognitive Neuroscience (93 citations). Asad Sayeed has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Vera Demberg, Naila Kabeer, Amy Weinberg, Khawar Mumtaz, Jordan Boyd‐Graber, Christian Müller, Douglas W. Oard, Philip John Gorinski, Ashutosh Modi and Manfred Pinkal. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the Association for Information Systems.

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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