M. D'Souza

4.5k citations
6 papers · 2.8k indexed · 1 hit paper · h-index 4

Impact in

  • Ecology top 1%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions
  • Pollution top 5%
    • Wastewater Treatment and Nitrogen Removal

Papers in

M. D'Souza

4 papers receiving 2.7k citations

Hit Papers

The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes 2008 · 2.7k citations
2.7k200820262014202050010001.5k2.0k2.5k

Peers

M. D'Souza
Comparison fields: 5 of 133
  • Ecology 1.4k
  • Pollution 332
  • Environmental Chemistry 246
  • Molecular Biology 1.6k
  • Soil Science 132
Replace Michael Kubal with:
Michael Kubal United States
Tobias Paczian United States
A. García-Rodríguez Spain
Edward Kirton United States
Hans‐Joachim Ruscheweyh Switzerland
Hongik Kim South Korea
Ines Mandić-Mulec Slovenia
Friedrich von Wintzingerode Germany
Alexander Sczyrba Germany
Victor Kunin United States
M. D'Souza relative to Michael Kubal United States Michael Kubal's profile →
Citations per field
00.5×1.5×
Michael Kubal · 1×
Citations per year

Countries citing papers authored by M. D'Souza

Since Specialization
Citations

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

Fields of papers citing papers by M. D'Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. D'Souza. 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 M. D'Souza. The network helps show where M. D'Souza may publish in the future.

Co-authors

The 20 scholars most cited alongside M. D'Souza, 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 M. D'Souza Line = papers co-authored together M. D'Souza links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20240
2 20240
3
The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes
Hit paper breakdown →
20082702
4 200513
5 19915
6 199171

About M. D'Souza

M. D'Souza is a scholar working on Artificial Intelligence, Rheumatology, Computer Vision and Pattern Recognition, Computer Networks and Communications and Molecular Biology, having authored 6 papers that have together received 2.8k indexed citations. Recurring topics across this work include AI in cancer detection (2 papers), Plant tissue culture and regeneration (1 paper), Microbial Community Ecology and Physiology (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Legume Nitrogen Fixing Symbiosis (1 paper), Video Surveillance and Tracking Methods (1 paper), Image Retrieval and Classification Techniques (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Ecology (1.4k citations), Pollution (332 citations), Environmental Chemistry (246 citations), Molecular Biology (1.6k citations) and Soil Science (132 citations). M. D'Souza has collaborated with scholars based in United States and India. Frequent co-authors include Folker Meyer, Michael Kubal, Richard E. Olson, Robert A. Edwards, Andreas Wilke, Rick Stevens, Tobias Paczian, A. García-Rodríguez, Clarence I. Kado and Michael B. Cooley. Their work appears in journals such as Journal of Bacteriology, Analytical Biochemistry, BMC Bioinformatics, IAES International Journal of Artificial Intelligence and SN Computer Science.

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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