Neema Moraveji

1.4k total citations
39 papers, 850 citations indexed

About

Neema Moraveji is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Neema Moraveji has authored 39 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Human-Computer Interaction, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Neema Moraveji's work include Innovative Human-Technology Interaction (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers) and Video Analysis and Summarization (5 papers). Neema Moraveji is often cited by papers focused on Innovative Human-Technology Interaction (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers) and Video Analysis and Summarization (5 papers). Neema Moraveji collaborates with scholars based in United States, Canada and China. Neema Moraveji's co-authors include Asim Smailagic, Andreas Krause, Daniel P. Siewiorek, Jason Li, Michael G. Christel, Kori Inkpen, Eric Smith, Alia J. Crum, Ravin Balakrishnan and Roy Pea and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Experimental Psychology General and International Journal of COPD.

In The Last Decade

Neema Moraveji

37 papers receiving 800 citations

Peers

Neema Moraveji
Comparison fields: 5 of 100
  • Human-Computer Interaction 261
  • Computer Vision and Pattern Recognition 222
  • Information Systems 203
  • Computer Science Applications 96
  • Cognitive Neuroscience 88
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Berardina De Carolis Italy
Nilufar Baghaei New Zealand
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Zoraida Callejas Spain
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Moushumi Sharmin United States
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Citations per field, relative to Neema Moraveji
Neema Moraveji · 1×
Citations per year, relative to Neema Moraveji
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Countries citing papers authored by Neema Moraveji

Since Specialization
Citations

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

Fields of papers citing papers by Neema Moraveji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neema Moraveji

This figure shows the co-authorship network connecting the top 25 collaborators of Neema Moraveji. A scholar is included among the top collaborators of Neema Moraveji 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 Neema Moraveji. Neema Moraveji 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
# Work Indexed citations
1 0
2 5
3 27
4 0
5 9
6 2
7 1
8 1
9 14
10 54
11 4
12 2
13
Weblines: Enabling the Social Transfer of Web Search Expertise using User-Generated Short-form Timelines.
2
14 24
15 16
16 1
17
DynaLine: A Non-Disruptive TV User Interface for Passive Browsing of Internet Video
2
18 3
19 16
20 4

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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