Daniel S. Alam

2.5k citations
39 papers · 1.8k indexed · h-index 20

Daniel S. Alam

38 papers receiving 1.8k citations

Peers

Daniel S. Alam
Comparison fields: 5 of 83
  • Transplantation 619
  • Otorhinolaryngology 227
  • Surgery 1.2k
  • Neurology 283
  • Endocrine and Autonomic Systems 124
Replace Francis Papay with:
Francis Papay United States
Isaac Eliachar United States
Bahar Bassiri Gharb United States
M. Samuel Noordhoff Taiwan
Antonio Rampazzo United States
H. Bruce Williams Canada
Frank Papay United States
David Chwei‐Chin Chuang Taiwan
Harvey M. Tucker United States
Hubert Weinberg United States
Daniel S. Alam relative to Francis Papay United States Francis Papay's profile →
Citations per field
00.5×10×15.5×
Francis Papay · 1×
Citations per year

Countries citing papers authored by Daniel S. Alam

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Alam. 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 Daniel S. Alam. The network helps show where Daniel S. Alam may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel S. Alam, 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 Daniel S. Alam Line = papers co-authored together Daniel S. Alam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201551
2 201314
3 201216
4 201118
5 20103
6 201013
7 20102
8 201018
9 201012
10 200917
11 200916
12 200937
13
Coded SOQPSK-TG Using the Soft Output Viterbi Algorithm
20091
14 2009211
15 200954
16 200846
17 200729
18 200720
19 200318
20 1998156

About Daniel S. Alam

Daniel S. Alam is a scholar working on Transplantation, Otorhinolaryngology, Neurology, Surgery and Dermatology, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (21 papers), Reconstructive Facial Surgery Techniques (16 papers), Facial Nerve Paralysis Treatment and Research (11 papers), Organ and Tissue Transplantation Research (11 papers), Trauma Management and Diagnosis (6 papers), Organ Donation and Transplantation (5 papers), Tracheal and airway disorders (5 papers) and Ear Surgery and Otitis Media (3 papers). The work is most often cited by research in Transplantation (619 citations), Otorhinolaryngology (227 citations), Surgery (1.2k citations), Neurology (283 citations) and Endocrine and Autonomic Systems (124 citations). Daniel S. Alam has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Keith E. Blackwell, Joel A. Sercarz, Elliot Abemayor, Thomas C. Calcaterra, Jeffrey D. Suh, Rahul Seth, Maria Siemionow, Steven Bernard, Chad R. Gordon and Risal Djohan. Their work appears in journals such as Otolaryngology, The Laryngoscope, Plastic & Reconstructive Surgery, Current Opinion in Otolaryngology & Head & Neck Surgery and Facial Plastic Surgery Clinics of North America.

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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