H. Holness

700 total citations
32 papers, 370 citations indexed

About

H. Holness is a scholar working on Biomedical Engineering, Sensory Systems and Spectroscopy. According to data from OpenAlex, H. Holness has authored 32 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 8 papers in Sensory Systems and 6 papers in Spectroscopy. Recurrent topics in H. Holness's work include Advanced Chemical Sensor Technologies (15 papers), Olfactory and Sensory Function Studies (8 papers) and Forensic Toxicology and Drug Analysis (5 papers). H. Holness is often cited by papers focused on Advanced Chemical Sensor Technologies (15 papers), Olfactory and Sensory Function Studies (8 papers) and Forensic Toxicology and Drug Analysis (5 papers). H. Holness collaborates with scholars based in United States and Saudi Arabia. H. Holness's co-authors include Kenneth G. Furton, José R. Almirall, Abuzar Kabir, Lauryn E. DeGreeff, Jacqueline R. Evans, Nadja Schreiber Compo, Rolando N. Carol, Stefan Rose, DeEtta Mills and Alexander M. Mebel and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

H. Holness

28 papers receiving 353 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
H. Holness United States	12	144	69	68	64	50	32	370
Stefan Rose United States	9	126 0.9×	84 1.2×	120 1.8×	51 0.8×	120 2.4×	11	812
William J. Turner United States	12	57 0.4×	19 0.3×	139 2.0×	47 0.7×	13 0.3×	36	470
Claude C. Grigsby United States	14	463 3.2×	113 1.6×	132 1.9×	81 1.3×	23 0.5×	24	655
Mika Shirasu Japan	10	449 3.1×	87 1.3×	149 2.2×	341 5.3×	30 0.6×	12	821
Begoña Alfaro Spain	13	132 0.9×	14 0.2×	164 2.4×	73 1.1×	6 0.1×	24	856
Matthew M. Booth United States	8	63 0.4×	59 0.9×	34 0.5×	33 0.5×	2 0.0×	10	333
Linda Harvey United Kingdom	17	134 0.9×	13 0.2×	256 3.8×	15 0.2×	519 10.4×	26	1.4k
Xiao Zeng United States	4	126 0.9×	25 0.4×	71 1.0×	152 2.4×	2 0.0×	7	309
Jia Lin Luo Australia	10	280 1.9×	25 0.4×	332 4.9×	5 0.1×	10 0.2×	15	780
Paola A. Prada‐Tiedemann United States	11	352 2.4×	55 0.8×	122 1.8×	247 3.9×	1 0.0×	34	620

Countries citing papers authored by H. Holness

Since Specialization

Citations

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

Fields of papers citing papers by H. Holness

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Holness

This figure shows the co-authorship network connecting the top 25 collaborators of H. Holness. A scholar is included among the top collaborators of H. Holness 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 H. Holness. H. Holness is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Holness, H., et al.. (2024). Exploring canine olfactory generalization using odor profile fractions from native crude oils. PLoS ONE. 19(10). e0311818–e0311818.

Holness, H., et al.. (2024). Method development for an untargeted HS-SPME-GC–MS analysis of terpenes and cannabinoids for the geographical sourcing of Marijuana. Talanta Open. 9. 100300–100300. 4 indexed citations

Abella, Benjamin S., et al.. (2023). Predicting SARS-CoV-2 Variant Using Non-Invasive Hand Odor Analysis: A Pilot Study. SHILAP Revista de lepidopterología. 4(2). 206–216.

Holness, H., et al.. (2023). Multivariate regression modelling for gender prediction using volatile organic compounds from hand odor profiles via HS-SPME-GC-MS. PLoS ONE. 18(7). e0286452–e0286452. 5 indexed citations

Abella, Benjamin S., et al.. (2023). Investigating the Use of SARS-CoV-2 (COVID-19) Odor Expression as a Non-Invasive Diagnostic Tool—Pilot Study. Diagnostics. 13(4). 707–707. 7 indexed citations

Zughaibi, Torki A., Kenneth G. Furton, H. Holness, & Michelle R. Peace. (2022). Measuring Odor Transport of Narcotic Substances Using DART-MS. MDPI (MDPI AG). 2(1). 262–271.

Mallikarjun, A., Elizabeth Nguyen, Benjamin S. Abella, et al.. (2022). The Use of Biological Sensors and Instrumental Analysis to Discriminate COVID-19 Odor Signatures. Biosensors. 12(11). 1003–1003. 7 indexed citations

Holness, H., et al.. (2022). The influence of intra-personal variations in human hand odor on the determination of sample donor. Forensic Science International. 334. 111235–111235. 8 indexed citations

Mills, John, et al.. (2021). Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples. Forensic Science International Synergy. 3. 100155–100155. 28 indexed citations

10.

DeGreeff, Lauryn E., et al.. (2021). Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing. Journal of Visualized Experiments. 1 indexed citations

11.

DeGreeff, Lauryn E., et al.. (2020). Generalization and Discrimination of Molecularly Similar Odorants in Detection Canines and the Influence of Training. Behavioural Processes. 177. 104148–104148. 17 indexed citations

12.

Holness, H., et al.. (2019). The Ability of Narcotic Detection Canines to Detect Illegal Synthetic Cathinones (Bath Salts). Frontiers in Veterinary Science. 6. 98–98. 11 indexed citations

13.

Evans, Jacqueline R., et al.. (2018). The impact of alcohol intoxication on witness suggestibility immediately and after a delay. Applied Cognitive Psychology. 33(3). 358–369. 16 indexed citations

14.

Evans, Jacqueline R., Nadja Schreiber Compo, Rolando N. Carol, et al.. (2017). Alcohol Intoxication and Metamemory: Little Evidence that Moderate Intoxication Impairs Metacognitive Monitoring Processes. Applied Cognitive Psychology. 31(6). 573–585. 10 indexed citations

15.

Cui, Danni, Alexander M. Mebel, Luis Arroyo, et al.. (2017). Kinetic, product, and computational studies of the ultrasonic induced degradation of 4-methylcyclohexanemethanol (MCHM). Water Research. 126. 164–171. 19 indexed citations

16.

Compo, Nadja Schreiber, Rolando N. Carol, Jacqueline R. Evans, et al.. (2016). Witness memory and alcohol: The effects of state-dependent recall.. Law and Human Behavior. 41(2). 202–215. 41 indexed citations

17.

Holness, H., et al.. (2016). Determination of VOC marker combinations for the classification of individuals by gender and race/ethnicity. Forensic Science International. 270. 193–199. 21 indexed citations

18.

Holness, H., et al.. (2016). An investigation into the concurrent collection of human scent and epithelial skin cells using a non-contact sampling device. Forensic Science International. 266. 148–159. 15 indexed citations

19.

Holness, H., Adeel Jamal, Alexander M. Mebel, & José R. Almirall. (2012). Separation mechanism of chiral impurities, ephedrine and pseudoephedrine, found in amphetamine-type substances using achiral modifiers in the gas phase. Analytical and Bioanalytical Chemistry. 404(8). 2407–2416. 13 indexed citations

20.

Adams, Ralph W. & H. Holness. (1964). A thermogravimetric study of the selenites of hafnium and zirconium. The Analyst. 89(1054). 31–31. 1 indexed citations

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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