Nabiha Asghar

403 citations
5 papers · 41 indexed · h-index 4
Journals
arXiv (Cornell University) (1 paper)International Conference on Learning Representations (1 paper)Uncertainty in Artificial Intelligence (1 paper)
Partner nations
CanadaChina

In The Last Decade

Nabiha Asghar

5 papers receiving 40 citations

Peers

Nabiha Asghar
Comparison fields: 5 of 19
  • Artificial Intelligence 35
  • General Decision Sciences 1
  • Software 1
  • Safety Research 2
  • Computer Vision and Pattern Recognition 4
Replace Shikib Mehri with:
Shikib Mehri United States
George Zerveas United States
Damien Sileo France
Alexander Spangher United States
Clemencia Siro Netherlands
Oren Pereg Israel
Stavros Mallios United States
Soumya Sanyal United States
Fenfei Guo China
Ying Wen China
Nabiha Asghar relative to Shikib Mehri United States Shikib Mehri's profile →
Citations per field
00.5×4.5×
Shikib Mehri · 1×
Citations per year

Countries citing papers authored by Nabiha Asghar

Since Specialization
Citations

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

Fields of papers citing papers by Nabiha Asghar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside Nabiha Asghar, 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 Nabiha Asghar Line = papers co-authored together Nabiha Asghar links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Progressive Memory Banks for Incremental Domain Adaptation
20207
2 201724
3
Online Sequence-to-Sequence Reinforcement Learning for Open-Domain Conversational Agents
20164
4
Intelligent affect: rational decision making for socially aligned agents
20151
5 20145

About Nabiha Asghar

Nabiha Asghar is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Management Science and Operations Research, Ocean Engineering and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 41 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Speech and dialogue systems (2 papers), Social Robot Interaction and HRI (1 paper), Opinion Dynamics and Social Influence (1 paper), Multimodal Machine Learning Applications (1 paper), Game Theory and Applications (1 paper), Natural Language Processing Techniques (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Artificial Intelligence (35 citations), General Decision Sciences (1 citation), Software (1 citation), Safety Research (2 citations) and Computer Vision and Pattern Recognition (4 citations). Nabiha Asghar has collaborated with scholars based in Canada and China. Frequent co-authors include Pascal Poupart, Xin Jiang, Hang Li, Jesse Hoey, Hang Li and Lili Mou. Their work appears in journals such as arXiv (Cornell University), International Conference on Learning Representations and Uncertainty in Artificial Intelligence.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026