Harmanpreet Kaur

934 citations
35 papers · 547 indexed · 1 hit paper · h-index 10
Topics
Mobile Crowdsensing and Crowdsourcing (6 papers)Advanced Image Fusion Techniques (4 papers)Personal Information Management and User Behavior (4 papers)
Partner nations
United StatesIndiaCanada

In The Last Decade

Harmanpreet Kaur

31 papers receiving 524 citations

Hit Papers

Interpreting Interpretability: Understanding Data Scienti...2020202620222024202050100150200250

Peers

Harmanpreet Kaur
Comparison fields: 5 of 118
  • Artificial Intelligence 230
  • Safety Research 110
  • Sociology and Political Science 74
  • Information Systems and Management 65
  • Human-Computer Interaction 59
Replace J.D. Zamfirescu-Pereira with:
J.D. Zamfirescu-Pereira United States
Malin Eiband Germany
Anita Cremers Netherlands
Ashraf Abdul Singapore
Danding Wang China
Joon Sung Park United States
Valdemar Danry United States
Michael Madaio United States
Yixuan Zhang China
Upol Ehsan United States
Harmanpreet Kaur relative to J.D. Zamfirescu-Pereira United States J.D. Zamfirescu-Pereira's profile →
Citations per field
00.5×10×15×20.5×
J.D. Zamfirescu-Pereira · 1×
Citations per year

Countries citing papers authored by Harmanpreet Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Harmanpreet Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harmanpreet Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Harmanpreet Kaur. A scholar is included among the top collaborators of Harmanpreet Kaur 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 Harmanpreet Kaur. Harmanpreet Kaur 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 7
2 1
3 1
4 0
5 2
6 1
7 0
8 1
9 3
10
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learningbreakdown →
252
11 13
12 4
13 14
14 2
15
Mental Health Conditions
1
16 5
17 1
18 15
19 25
20
A Survey on the Power and Energy Consumption of Cloud Computing
1

About Harmanpreet Kaur

Harmanpreet Kaur is a scholar working on Computer Science Applications, Information Systems and Management and General Dentistry, having authored 35 papers that have together received 547 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (6 papers), Advanced Image Fusion Techniques (4 papers) and Personal Information Management and User Behavior (4 papers). The work is most often cited by research in Health Informatics (45 citations), Safety Research (110 citations) and Human-Computer Interaction (59 citations). Harmanpreet Kaur has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Hanna Wallach, Jennifer Wortman Vaughan, Harsha Nori, Rich Caruana, Samuel Jenkins, Jaime Teevan, Shamsi T. Iqbal, Alex C. Williams, Daniel McDuff and Walter S. Lasecki. Their work appears in journals such as The Science of The Total Environment, Nutrients and npj Digital Medicine.

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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