Randall Wald

4.7k citations
70 papers · 3.3k indexed · 1 hit paper · h-index 20

Impact in

Papers in

    • Machine Learning and Data Classification 20
    • Imbalanced Data Classification Techniques 18
    • Text and Document Classification Technologies 9
    • Gene expression and cancer classification 30
    • Machine Learning in Bioinformatics 12
    • Bioinformatics and Genomic Networks 10

Randall Wald

68 papers receiving 3.1k citations

Hit Papers

Deep learning applications and challenges in big data analytics 2015 · 1.8k citations
1.8k201520262018202250010001.5k

Peers

Randall Wald
Comparison fields: 5 of 182
  • Artificial Intelligence 1.5k
  • Health Information Management 187
  • Software 128
  • Information Systems 609
  • Signal Processing 267
Replace Aida Mustapha with:
Aida Mustapha Malaysia
Victoria López Spain
Panagiotis Pintelas Greece
Dan Steinberg United States
Janmenjoy Nayak India
Sonali Agarwal India
Marina Sokolova Canada
Charles X. Ling Canada
Ferat Sahin United States
Vasile Palade United Kingdom
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Citations per field
00.5×3.2×
Aida Mustapha · 1×
Citations per year

Countries citing papers authored by Randall Wald

Since Specialization
Citations

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

Fields of papers citing papers by Randall Wald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Randall Wald, 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 Randall Wald Line = papers co-authored together Randall Wald links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning applications and challenges in big data analytics
Hit paper breakdown →
20151757
2 2014200
3 2015181
4 2009158
5 201287
6 201364
7 201252
8 201248
9 201248
10 201042
11 201337
12 201236
13 201233
14 201332
15
Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data
201429
16 201229
17 201323
18 201123
19 201221
20 201119

About Randall Wald

Randall Wald is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 70 papers that have together received 3.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (30 papers), Machine Learning and Data Classification (20 papers), Imbalanced Data Classification Techniques (18 papers), Data Mining Algorithms and Applications (14 papers), Machine Learning in Bioinformatics (12 papers), Face and Expression Recognition (10 papers), Bioinformatics and Genomic Networks (10 papers) and Text and Document Classification Technologies (9 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Health Information Management (187 citations), Software (128 citations), Information Systems (609 citations) and Signal Processing (267 citations). Randall Wald has collaborated with scholars based in United States. Frequent co-authors include Taghi M. Khoshgoftaar, Flavio Villanustre, Edin Muharemagic, Maryam M. Najafabadi, Naeem Seliya, Amri Napolitano, David J. Dittman, Matthew Herland, Jason Van Hulse and Richard Zuech. Their work appears in journals such as Journal Of Big Data, International Journal of Reliability Quality and Safety Engineering, Information Systems Frontiers, International Journal of Business Intelligence and Data Mining and International Journal of Artificial Intelligence Tools.

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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